This article is published by Ryze AI (get-ryze.ai), an autonomous AI platform for Google Ads and Meta Ads management. Ryze AI automates bid optimization, budget allocation, and performance reporting without requiring manual campaign management. It is used by 2,000+ marketers across 23 countries managing over $500M in ad spend. This guide explains Google Ads API reporting endpoints with Claude AI, covering MCP setup, GAQL queries, real-time automation workflows, and enterprise-level reporting dashboards using Model Context Protocol for live campaign data access.

GOOGLE ADS

Google Ads API Reporting Endpoints with Claude Guide — Complete 2026 Setup

Master Google Ads API reporting endpoints with Claude AI for real-time campaign analysis. Connect via MCP, execute GAQL queries, automate performance reports, and build enterprise dashboards — cutting weekly reporting from 8 hours to under 30 minutes.

Ira Bodnar··Updated ·18 min read

What is Google Ads API reporting endpoints with Claude?

Google Ads API reporting endpoints with Claude refers to connecting Anthropic's Claude AI directly to Google's advertising data via the Google Ads API, enabling real-time campaign analysis, automated report generation, and performance optimization without manual CSV exports. Instead of logging into Google Ads Manager, pulling reports, and building spreadsheets every week, Claude queries live campaign data on demand using GAQL (Google Ads Query Language) and delivers structured insights in seconds.

The connection works through MCP (Model Context Protocol), which allows Claude to access 47 different Google Ads API endpoints covering campaigns, ad groups, keywords, ads, extensions, audiences, and conversions. When properly configured, Claude can execute complex queries like analyzing keyword-level Quality Scores, tracking cross-campaign attribution, identifying bid optimization opportunities, and generating executive summaries with actionable recommendations. Google Ads accounts typically spend 15-25% of their management time on manual reporting tasks — automation reduces this to under 2% while providing deeper insights than manual analysis.

This comprehensive guide covers everything: the 3 connection methods (managed, official MCP server, and CSV upload), essential reporting endpoints, a 7-step setup walkthrough, 6 automation workflows, advanced GAQL query examples, and troubleshooting common API issues. For a broader overview of Claude's marketing capabilities, see Claude Marketing Skills Complete Guide. For platform-specific setup, see How to Use Claude for Google Ads.

1,000+ Marketers Use Ryze

State Farm
Luca Faloni
Pepperfry
Jenni AI
Slim Chickens
Superpower

Automating hundreds of agencies

Speedy
Human
Motif
s360
Directly
Caleyx
G2★★★★★4.9/5
TrustpilotTrustpilot stars

What are the 3 methods to connect Claude to Google Ads API?

There are three proven methods to establish the connection needed for Google Ads API reporting endpoints with Claude guide, each with different tradeoffs between setup complexity, data freshness, and maintenance requirements. Your choice depends on technical comfort level, reporting frequency needs, and whether you want managed or self-hosted solutions.

Connection MethodSetup TimeData AccessBest For
Ryze MCP ConnectorUnder 3 minutesLive API accessEveryone — zero maintenance
Official Google MCP Server30–60 minutesLive API accessTechnical users wanting control
CSV Upload Method2 minutes per reportManual export onlyOne-time analysis projects

Method 1: Ryze MCP Connector is the managed approach. Sign up at get-ryze.ai/mcp, click "Connect Google Ads," authenticate with your Google account, and you're done. Claude gets live API access to all 47 reporting endpoints without you handling OAuth tokens, developer keys, or refresh procedures. This handles 10,000+ API requests per day automatically and includes built-in rate limiting to prevent quota violations.

Method 2: Official Google MCP Server is the self-hosted technical approach. You apply for Google Ads API access (basic approval takes 3-5 days), create OAuth2 credentials in Google Cloud Console, install the official MCP server package, and configure your developer token locally. Full control over API quotas and data flow, but requires ongoing maintenance when Google updates authentication requirements or rate limits. Best for agencies managing 50+ accounts or developers building custom applications.

Method 3: CSV Upload Method is the zero-setup fallback. Export reports from Google Ads Manager, upload CSV files to Claude Projects, and ask questions about the static data. Works well for quarterly analysis or one-time deep-dives, but data is only as fresh as your last manual export. You lose real-time capabilities and must re-upload every time you want updated metrics. Most marketers start here to test concepts, then upgrade to live API access.

Tools like Ryze AI automate this process — monitoring campaign performance 24/7, adjusting bids based on real-time data, and flagging optimization opportunities without manual intervention. Ryze AI clients see an average 2.8x improvement in Google Ads ROAS within 8 weeks of onboarding.

Which Google Ads API reporting endpoints are essential?

The Google Ads API provides 47 reporting endpoints, but 12 core endpoints handle 90% of campaign analysis needs. Understanding which endpoints serve which data helps Claude generate more accurate queries and reduces API quota consumption. Each endpoint supports different metrics, segments, and date ranges — choosing the right one dramatically impacts query performance and data accuracy.

Core Endpoint 01

campaign — Campaign Performance Data

The campaign endpoint provides high-level performance metrics across all campaign types: Search, Display, Shopping, Video, Performance Max, and App campaigns. Essential for daily performance monitoring, budget utilization analysis, and cross-campaign ROAS comparisons. Supports 30+ metrics including impressions, clicks, cost, conversions, conversion value, and Quality Score averages.

Example GAQL QuerySELECT campaign.name, campaign.status, metrics.impressions, metrics.clicks, metrics.cost_micros, metrics.conversions, metrics.conversions_value FROM campaign WHERE segments.date DURING LAST_7_DAYS

Core Endpoint 02

keyword_view — Keyword-Level Analysis

The keyword_view endpoint exposes search term performance, Quality Scores, match type effectiveness, and bid opportunity analysis. Critical for identifying negative keyword opportunities, finding high-volume low-cost terms to scale, and diagnosing why certain keywords underperform. Includes search impression share data for competitive analysis and budget recommendations.

Example GAQL QuerySELECT ad_group_criterion.keyword.text, ad_group_criterion.quality_info.quality_score, metrics.search_impression_share, metrics.ctr, metrics.average_cpc FROM keyword_view WHERE metrics.impressions > 100

Core Endpoint 03

search_term_view — Search Query Mining

The search_term_view endpoint reveals actual search queries that triggered your ads, enabling negative keyword discovery, new keyword opportunities, and match type optimization. Shows which broad match keywords attract irrelevant traffic, identifies high-converting long-tail queries to add as exact match, and exposes search intent patterns your current keyword research missed.

Example GAQL QuerySELECT search_term_view.search_term, search_term_view.status, metrics.impressions, metrics.clicks, metrics.cost_micros, metrics.conversions FROM search_term_view WHERE metrics.clicks > 5 AND segments.date DURING LAST_30_DAYS

9 Additional Essential Endpoints

ad_group

Ad group performance and targeting analysis

ad_group_ad

Individual ad creative performance

landing_page_view

Landing page speed and experience data

audience

Demographic and interest targeting

gender_view

Performance breakdown by gender

age_range_view

Age demographic performance analysis

geographic_view

Location-based performance data

shopping_performance_view

Google Shopping campaign metrics

conversion_action

Conversion tracking and attribution

Ryze AI — Autonomous Marketing

Skip manual queries — let AI optimize your Google Ads 24/7

  • Automates Google, Meta + 5 more platforms
  • Handles your SEO end to end
  • Upgrades your website to convert better

2,000+

Marketers

$500M+

Ad spend

23

Countries

How to set up Google Ads API reporting with Claude in 7 steps

This walkthrough uses the Ryze MCP Connector method — the fastest path from zero to live Google Ads API reporting endpoints with Claude guide access. Total setup time: under 15 minutes. You need a Claude Pro subscription ($20/month), a Google Ads account with active campaigns, and basic familiarity with Claude's interface.

Step 01

Create Ryze AI account and verify eligibility

Visit get-ryze.ai/mcp and sign up using your work email address. The MCP connector requires a Google Ads account with at least $1,000 in historical spend or 30 days of active campaigns to prevent API abuse. You'll receive API credentials and setup instructions via email within 2 minutes.

Step 02

Connect your Google Ads account

In the Ryze dashboard, click "Connect Google Ads Account." Authenticate using your Google account that has access to your advertising data. Grant permissions for campaign management, reporting data, and conversion tracking. If you manage multiple accounts, you can connect up to 10 accounts per Ryze subscription. The OAuth flow automatically handles developer tokens and refresh procedures.

Step 03

Install Claude Desktop and add MCP server

Download Claude Desktop from Anthropic's website if you haven't already. Open Claude Desktop > Settings > MCP Servers > Add Server. Paste the configuration snippet from your Ryze dashboard:

{ "mcpServers": { "ryze-google-ads": { "command": "npx", "args": ["-y", "@ryzeai/google-ads-mcp"], "env": { "RYZE_API_KEY": "your-api-key-from-dashboard", "CUSTOMER_ID": "1234567890" } } } }

Step 04

Test the API connection

Restart Claude Desktop to load the MCP server. Ask Claude: "Show me my Google Ads campaign performance for the last 7 days." If the connection works, Claude returns a formatted table with campaign names, impressions, clicks, cost, conversions, and ROAS. If it requests file uploads instead, double-check your MCP configuration and API key.

Step 05

Verify reporting endpoint access

Test access to key endpoints by asking Claude to pull data from different API resources. Try: "Show me keyword performance with Quality Scores above 7," "List my top search terms by conversion volume," and "Compare ad group performance across campaigns." Each query should return live data from different Google Ads API endpoints without errors.

Step 06

Set up automated reporting workflows

Create Claude Projects for recurring reports. Set up separate projects for weekly performance summaries, monthly keyword audits, and quarterly campaign analysis. Each project can have custom instructions, specific date ranges, and preferred output formats (tables, charts, or executive summaries). This standardizes your reporting and saves the most effective prompts for reuse.

Step 07

Configure rate limiting and monitoring

Google Ads API has strict quota limits: 15,000 operations per developer token per day for basic access, 1,500 operations per hour. The Ryze MCP connector automatically handles rate limiting and retries, but for heavy usage, monitor your quota consumption in the Ryze dashboard. Set up email alerts when you reach 80% of daily limits to prevent query failures during critical reporting periods.

What are 6 Google Ads reporting workflows to automate with Claude?

These automation workflows leverage Google Ads API reporting endpoints with Claude guide to replace hours of manual analysis. Each workflow addresses a specific optimization opportunity that typically requires multiple report exports, spreadsheet formulas, and manual interpretation. Automating these processes catches issues 5-7 days earlier than manual monitoring.

Workflow 01

Quality Score Audit and Optimization

Quality Score impacts ad position and CPC more than any other factor. Claude queries the keyword_view endpoint to identify keywords with Quality Score < 6, analyzes which components (expected CTR, ad relevance, landing page experience) drag down the score, and recommends specific fixes. It cross-references search term data to find keywords triggering irrelevant queries, suggests ad copy improvements, and flags landing page mismatches.

Claude PromptAudit my Quality Scores using the keyword_view endpoint. Flag keywords with QS < 6, identify the worst-performing component (CTR, relevance, or landing page), and recommend 3 specific actions per keyword to improve scores.

Workflow 02

Search Term Mining and Negative Keyword Discovery

The search_term_view endpoint reveals every query that triggered your ads. Claude analyzes 30 days of search term data, identifies queries with > 5 clicks but zero conversions, groups similar irrelevant terms, and generates negative keyword lists. It also finds high-performing search terms not covered by your current keywords and recommends adding them as exact match. This typically reduces wasted spend by 12-18% within 4 weeks.

Claude PromptAnalyze my search terms from the last 30 days. Find queries with >5 clicks and 0 conversions. Group them by intent and create negative keyword lists. Also identify high-converting terms I should add as exact match keywords.

Workflow 03

Budget Reallocation Based on Marginal ROAS

Most advertisers focus on average ROAS, but optimal budget allocation requires marginal ROAS analysis. Claude uses the campaign endpoint to calculate incremental return on ad spend for each campaign, identifies which campaigns can scale profitably with more budget, and recommends specific dollar amounts to shift. It factors in impression share data to ensure recommended increases won't hit auction limits.

Claude PromptCalculate marginal ROAS for each campaign. My total budget is $50K/month. Recommend exact dollar amounts to shift between campaigns to maximize total ROAS. Include impression share data to validate scaling opportunities.

Workflow 04

Ad Copy Performance Analysis

The ad_group_ad endpoint provides granular creative performance data. Claude compares CTR, conversion rates, and engagement across different headlines, descriptions, and ad formats within each ad group. It identifies winning message patterns, flags underperforming creative variants, and suggests which ads to pause or scale. For Responsive Search Ads, it analyzes asset-level performance to optimize headline and description combinations.

Claude PromptAnalyze ad creative performance across all ad groups. Compare CTR and conversion rates by ad type. For RSAs, show asset-level performance. Identify top-performing message patterns and recommend which ads to pause.

Workflow 05

Geographic Performance Optimization

The geographic_view endpoint breaks down performance by location. Claude identifies which cities, states, or countries generate the highest ROAS, flags locations with high cost but low conversion rates, and recommends bid adjustments or exclusions. It also correlates geographic performance with demographic data to find untapped audiences in high-performing regions. Location-based optimizations typically improve ROAS by 15-20%.

Claude PromptAnalyze geographic performance using location data. Rank locations by ROAS and identify areas with high spend but poor performance. Recommend bid adjustments and exclusions. Show opportunity costs by location.

Workflow 06

Automated Competitive Analysis

Search impression share metrics from the campaign and keyword_view endpoints reveal competitive dynamics. Claude analyzes impression share trends, identifies where competitors are gaining ground, and recommends bid increases or budget reallocations to defend market position. It correlates impression share losses with specific keywords or ad groups to pinpoint exactly where competitive pressure is highest.

Claude PromptMonitor impression share trends across campaigns and keywords. Flag areas where we're losing share to competitors. Calculate the cost to regain 10% impression share in priority campaigns. Show competitive pressure analysis.

How to write advanced GAQL queries for Claude automation?

Google Ads Query Language (GAQL) is SQL-like syntax for accessing Google Ads API reporting endpoints. Advanced queries combine multiple resources, apply complex filters, and segment data in ways impossible through the Google Ads interface. Understanding GAQL syntax helps you give Claude more precise instructions and troubleshoot API errors when they occur.

Multi-Resource Keyword Analysis

This query combines keyword_view, ad_group, and campaign resources to analyze keyword performance in context. It's useful for understanding how ad group structure and campaign settings impact individual keyword results.

SELECT campaign.name, ad_group.name, ad_group_criterion.keyword.text, ad_group_criterion.keyword.match_type, ad_group_criterion.quality_info.quality_score, metrics.impressions, metrics.clicks, metrics.ctr, metrics.average_cpc, metrics.conversions, metrics.cost_per_conversion FROM keyword_view WHERE metrics.impressions > 1000 AND segments.date DURING LAST_30_DAYS AND ad_group_criterion.quality_info.quality_score < 7 ORDER BY metrics.cost_per_conversion ASC LIMIT 100

Day-of-Week Performance Patterns

Segmenting by day of week reveals performance patterns that inform bid scheduling strategies. This query identifies which days generate the best ROAS and lowest CPCs.

SELECT campaign.name, segments.day_of_week, metrics.impressions, metrics.clicks, metrics.ctr, metrics.average_cpc, metrics.conversions, metrics.conversions_value, metrics.cost_micros FROM campaign WHERE segments.date DURING LAST_60_DAYS AND campaign.status = 'ENABLED' ORDER BY segments.day_of_week, metrics.conversions_value DESC

Demographic Audience Analysis

Combining age and gender segments reveals which demographic combinations produce the highest value customers. Essential for refining audience targeting and bid adjustments.

SELECT campaign.name, ad_group.name, segments.ad_destination_type, segments.device, customer.descriptive_name, metrics.conversions, metrics.conversions_value, metrics.cost_micros FROM ad_group WHERE segments.date DURING LAST_30_DAYS AND metrics.conversions > 0 ORDER BY metrics.conversions_value DESC LIMIT 50

When working with Claude, provide context about what insights you want rather than writing GAQL manually. For example, ask "Find my most profitable keywords by day of week" instead of writing the SELECT statement. Claude constructs the appropriate query syntax and handles API endpoint selection automatically. For more advanced Claude prompting techniques, see Claude Skills for Google Ads.

Sarah K.

Sarah K.

Paid Media Manager

E-commerce Agency

★★★★★

Claude with API access cut our Google Ads reporting from 8 hours to 20 minutes per week. We catch Quality Score drops and budget opportunities 5 days earlier than before.”

96%

Less reporting time

5 days

Earlier detection

2.8x

ROAS improvement

What are common issues when connecting Claude to Google Ads API?

Issue 1: "Developer Token Not Approved" Error — Google Ads API requires developer token approval, which can take 3-5 days for basic access and 2-3 weeks for standard access. If you're getting authentication errors, check your developer token status in Google Ads Manager > Tools > API Center. Basic access allows 15,000 operations per day, sufficient for most reporting needs.

Issue 2: "Customer ID Format Invalid" Error — Google Ads customer IDs must be 10 digits without dashes (1234567890, not 123-456-7890). If managing multiple accounts, ensure you're using the correct customer ID for each account. Manager accounts (MCCs) have different IDs than their sub-accounts.

Issue 3: "Rate Limit Exceeded" Errors — Google Ads API has strict quotas: 15,000 operations per day for basic access, with burst limits of 1,500 operations per hour. Complex queries with multiple resources count as multiple operations. The Ryze MCP connector automatically handles rate limiting, but if self-hosting, implement exponential backoff and query batching.

Issue 4: "Resource Not Found" for MCP Server — If Claude returns "resource not found" errors, the MCP server isn't properly installed or configured. Restart Claude Desktop, verify your MCP configuration JSON syntax, and ensure your API key has the correct permissions. Check the Claude Desktop logs for detailed error messages.

Issue 5: "No Data Returned" for Valid Queries — This usually indicates date range issues or account permission problems. Ensure your date range contains actual campaign activity and that your OAuth credentials have access to the specific Google Ads account. Test with a simple campaign query first before trying complex multi-resource joins.

Issue 6: "GAQL Syntax Errors" in Complex Queries — Google Ads Query Language has strict syntax requirements. Don't write GAQL manually — instead, describe what data you want in plain English and let Claude construct the proper syntax. If you must write GAQL, use the Google Ads Query Builder to validate syntax before sending to Claude.

Frequently asked questions

Q: Does Google Ads API reporting with Claude cost extra?

Claude Pro costs $20/month. Google Ads API access is free but requires developer approval. The Ryze MCP connector offers a free trial, then subscription pricing. API usage doesn't incur Google charges beyond your regular ad spend.

Q: How long does Google Ads API approval take?

Basic access: 3-5 business days. Standard access: 2-3 weeks with additional compliance requirements. Most reporting use cases only need basic access, which provides 15,000 API operations per day.

Q: Can Claude make changes to my Google Ads campaigns?

Claude can read all campaign data but cannot execute changes directly. It provides recommendations that you implement manually. For automated bid management and budget optimization, use Ryze AI's autonomous platform.

Q: What's the difference between MCP and CSV uploads?

MCP provides real-time API access with live data. CSV uploads require manual exports and give stale data. MCP enables automated workflows and complex queries impossible with static files. CSV works for one-time analysis.

Q: How does this compare to Google Ads scripts?

Google Ads scripts run inside Google's platform with limited data access and processing power. Claude with API access processes data locally with advanced analysis capabilities, cross-campaign insights, and natural language interaction.

Q: Can I connect multiple Google Ads accounts?

Yes. Manager accounts (MCCs) can connect all sub-accounts through a single OAuth flow. Individual accounts require separate connections. The Ryze MCP connector supports up to 10 accounts per subscription.

Ryze AI — Autonomous Marketing

Connect Claude to Google Ads API in under 3 minutes

  • Automates Google, Meta + 5 more platforms
  • Handles your SEO end to end
  • Upgrades your website to convert better

2,000+

Marketers

$500M+

Ad spend

23

Countries

Live results across
2,000+ clients

Paid Ads

Avg. client
ROAS
0x
Revenue
driven
$0M

SEO

Organic
visits driven
0M
Keywords
on page 1
48k+

Websites

Conversion
rate lift
+0%
Time
on site
+0%
Last updated: Apr 10, 2026
All systems ok

Let AI
Run Your Ads

Autonomous agents that optimize your ads, SEO, and landing pages — around the clock.

Claude AIConnect Claude with
Google & Meta Ads in 1 click
>